智慧化低频低压减载装置负荷监测技术研究  

Research on Load Monitoring Technology for Intelligent Low-Frequency and Low-Voltage Load Reduction Device

作　　者：李傲 田宏强 谢颖[1] 王祥 谭梦思 LI Ao;TIAN Hongqiang;XIE Ying;WANG Xiang;TAN Mengsi(State Grid Huainan Power Supply Company,Huainan,Anhui 232008,China;State Grid Anhui Electric Power Co.,Ltd.,Hefei,Anhui 230041,China)

机构地区：[1]国网淮南供电公司,安徽淮南232008 [2]国网安徽省电力有限公司,安徽合肥230041

出　　处：《自动化应用》2024年第17期42-44,共3页Automation Application

摘　　要：在电网运行过程中,为保证电力系统的稳定运行,需要及时监测低频低压现象。为此,首先以安徽省电网为对象,使用智能压板/出口双联压板监视跳闸出入口压板状态,然后将其与母线运行方式、主变运行方式的识别结果结合,判断可切状态的负荷线路,最后基于非对称实时系统架构技术和反向传播网络等实现负荷预测,并制定对应的切负荷策略。结果表明,该方法的重要负荷保障率达到98%以上,负荷误切率仅在5%左右,且频率和电压恢复时间均在10 s左右,具有较快的速度。在不同样本规模的实验中,该方法的平均识别准确率为95.47%,具有明显优势。该监测技术能有效监测电力系统中的负荷情况,并给出合适的切负荷策略,从而保障电力系统的稳定。During the operation of the power grid,it is necessary to monitor low-frequency and low-voltage phenomena in a timely manner to ensure the stable operation of the power system.To this end,firstly,the Anhui power grid is taken as the object,and the intelligent pressure plate/outlet dual pressure plate is used to monitor the status of the tripping inlet and outlet pressure plates.Then,it is combined with the recognition results of the bus operation mode and the main transformer operation mode to determine the load lines that can be cut off.Finally,based on asymmetric real-time system architecture technology and back-propagation network,load prediction is implemented,and corresponding load cutting strategies are formulated.The results show that the important load guarantee rate of this method reaches over 98%,the load misoperation rate is only about 5%,and the frequency and voltage recovery time are both around 10 s,with a fast speed.In experiments with different sample sizes,the average recognition accuracy of this method is 95.47%,which has significant advantages.This monitoring technology can effectively monitor the load situation in power system and provide appropriate load shedding strategies to ensure stability of the power system.

关 键 词：低频低压减载装置 负荷监测 反向传播网络 

分 类 号：TM774[电气工程—电力系统及自动化]